Understanding the assembly of interdisciplinary teams and its impact on performance |
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| Institution: | 1. The Graduate School of Public Policy and Information Technology, Seoul National University of Science and Technology, 172 Gongreung 2-dong, Nowon-gu, Seoul 139-746, Republic of Korea;2. Department of Systems Management Engineering, Sungkyunkwan University, 300 Chunchun-dong, Jangan-gu, Kyunggi-do 440-746, Republic of Korea;1. College of Computing and Informatics, Drexel University, 3141 Chestnut Street, Philadelphia, PA 19104, USA;2. University of Antwerp, Institute of Education and Information Sciences, IBW, Venusstraat 35, 2000 Antwerpen, Belgium;1. CNR-CERIS, National Research Council of Italy, Institute for Economic Research on Firm and Growth, via Real Collegio, 30, I-10024 Moncalieri (TO), Italy;2. University of Torino, Department of Chemistry, via P. Giuria, 7, I-10125 Torino, Italy;1. Murdoch University, Centre for Excellence in Climate Change, Woodlands and Forest Health, 90 South Street, Murdoch, Western Australia 6150, Australia;2. Wageningen University, Land Use Planning Group, Netherlands |
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| Abstract: | Interdisciplinary teams are assembled in scientific research and are aimed at solving complex problems. Given their increasing importance, it is not surprising that considerable attention has been focused on processes of collaboration in interdisciplinary teams. Despite such efforts, we know less about the factors affecting the assembly of such teams in the first place. In this paper, we investigate the structure and the success of interdisciplinary scientific research teams. We examine the assembly factors using a sample of 1103 grant proposals submitted to two National Science Foundation interdisciplinary initiatives during a 3-year period, including both awarded and non-awarded proposals. The results indicate that individuals’ likelihood of collaboration on a proposal is higher among those with longer tenure, lower institutional tier, lower H-index, and with higher levels of prior co-authorship and citation relationships. However, successful proposals have a little bit different relational patterns: individuals’ likelihood of collaboration is higher among those with lower institutional tier, lower H-index, (female) gender, higher levels of prior co-authorship, but with lower levels of prior citation relationships. |
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| Keywords: | Team assembly Social network analysis Co-authorship network Citation network Interdisciplinary collaboration Grant decision-making |
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